Výsledky vyhledávání - finite volume methods for initial value and initial-boundary value problems involving pred

A physics-inspired neural network to solve partial differential equations – application in diffusion-induced stress.

Autoři: Xue, Yuan Li, Yong Zhang, Kai a další

Zdroj: Physical Chemistry Chemical Physics (PCCP); 4/7/2022, Vol. 24 Issue 13, p7937-7949, 13p

Efficient integration of deep neural networks in sequential multiscale simulations.

Autoři: Tröger, Jendrik‐Alexander Eivazi, Hamidreza Hartmann, Stefan a další

Zdroj: PAMM: Proceedings in Applied Mathematics & Mechanics; Dec2023, Vol. 23 Issue 4, p1-8, 8p

Témata: ARTIFICIAL neural networks, AUTOMATIC differentiation, BOUNDARY value problems

An enhanced deep neural network with global adaptive weighted gradient for solving hyperbolic partial differential equations.

Autoři: Wu, Wei Zhao, Jiebin

Zdroj: European Physical Journal Plus; Jul2025, Vol. 140 Issue 7, p1-21, 21p

Multi-domain physics-informed neural networks for solving transient heat conduction problems in multilayer materials.

Autoři: Zhang, Benrong Wang, Fajie Qiu, Lin

Zdroj: Journal of Applied Physics; 6/28/2023, Vol. 133 Issue 24, p1-17, 17p

Témata: HEAT conduction, ARTIFICIAL neural networks, DEEP learning, TEMPERATURE distribution

A deep learning method for solving thermoelastic coupling problem.

Autoři: Fang, Ruoshi Zhang, Kai Song, Ke a další

Zdroj: Zeitschrift für Naturforschung Section A: A Journal of Physical Sciences; Aug2024, Vol. 79 Issue 8, p851-871, 21p

Témata: THERMAL stresses, THERMOELASTICITY, ENGINEERING, DEEP learning, EQUATIONS

Physics-Informed Neural Networks in Grid-Connected Inverters: A Review.

Autoři: Mahdouri, Ekram Al Al-Abri, Said Yousef, Hassan a další

Zdroj: Energies (19961073); Oct2025, Vol. 18 Issue 20, p5441, 19p

Témata: PARAMETER estimation, ELECTRIC inverters, MACHINE learning, FAULT diagnosis, OPTIMIZATION algorithms, SYSTEM identification, ENERGY infrastructure

Simulation of an inductively coupled plasma with a two-dimensional Darwin particle-in-cell code.

Autoři: Sydorenko, Dmytro Kaganovich, Igor D. Khrabrov, Alexander V. a další

Zdroj: Physics of Plasmas; Apr2025, Vol. 32 Issue 4, p1-23, 23p

Témata: DISTRIBUTION (Probability theory), ELECTROMAGNETIC waves, PLASMA Alfven waves, ELECTRIC fields, DENSE plasmas

Flow-dynamics informed Kolmogorov–Arnold networks for simulating subsonic compressible flow around airfoils.

Autoři: Sun, Jianren Fei, Zhongyang Qin, Pan

Zdroj: AIP Advances; Nov2025, Vol. 15 Issue 11, p1-20, 20p

Témata: FLUID flow, SUBSONIC flow, DEEP learning, AEROFOILS, ARTIFICIAL neural networks, NONLINEAR regression, PREDICTION models

Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing.

Autoři: Uhrich, Benjamin Pfeifer, Nils Schäfer, Martin a další

Zdroj: Applied Intelligence; Mar2024, Vol. 54 Issue 6, p4736-4755, 20p

Témata: ARTIFICIAL neural networks, DEEP learning, THREE-dimensional printing, SELECTIVE laser melting, HEAT transfer, THERMAL stresses

Topanga: A kinetic ion plasma code for large-scale ionospheric simulations on magnetohydrodynamic timescales.

Autoři: Belyaev, Mikhail A. Larson, David J. Cohen, Bruce I. a další

Zdroj: Physics of Plasmas; Jan2024, Vol. 31 Issue 1, p1-22, 22p

Témata: DISPLACEMENT currents (Electric), ELECTROMAGNETIC wave absorption, NEUMANN boundary conditions, MAXWELL equations, OHM'S law, ELECTROMAGNETIC pulses, ELECTRON-ion collisions

Numerič ne metode končnih razlik za modeliranje telekomunikacijskih kanalov: pristopi in izzivi. (Slovenian)

Alternate Title: Numerical Finite-Difference Techniques in Telecommunication Channel Modelling - Approaches and Challenges. (English)

Autoři: Novak, Roman

Zdroj: Electrotechnical Review / Elektrotehniski Vestnik; 2020, Vol. 87 Issue 4, p165-174, 10p

Témata: TELECOMMUNICATION channels, NEXT generation networks, PARTIAL differential equations, DIFFRACTIVE scattering, RADIO wave propagation, RADIO frequency allocation, FINITE differences

Spatial analysis of environmental factors influencing dust sources in the east of Iran using a new activelearning approach.

Autoři: Yariyan, Peyman Amiri, Mahdis Saffariha, Maryam a další

Zdroj: Geocarto International; 2022, Vol. 37 Issue 26, p11929-11954, 26p

Témata: FACTOR analysis, DUST storms, WIND speed, DUST

Geografický termín: IRAN

Computationally predicting binding affinity in protein–ligand complexes: free energy-based simulations and machine learning-based scoring functions.

Autoři: Wang, Debby D Zhu, Mengxu Yan, Hong

Zdroj: Briefings in Bioinformatics; May2021, Vol. 22 Issue 3, p1-24, 24p

Témata: THERMODYNAMIC cycles, DEEP learning, MACHINERY, FORECASTING, LIGAND binding (Biochemistry)

Physics-informed deep learning for incompressible laminar flows.

Autoři: Chengping Rao Hao Sun Yang Liu

Zdroj: Theoretical & Applied Mechanics Letters; Mar2020, Vol. 10 Issue 3, p207-212, 6p

The response of a gravel-bed river planform configuration to flow variations and bed reworking: a modelling study.

Autoři: Kaless, Gabriel Mao, Luca Moretto, Johnny a další

Zdroj: Hydrological Processes; Aug2015, Vol. 29 Issue 17, p3812-3828, 17p

Témata: BED load, BIAS correction (Topology), HYDROGRAPHY, WATERSHEDS

Geografický termín: NORTHERN Territory

Procedures to build trust in nonlinear elastoplastic integration algorithm: solution and code verification.

Autoři: Feng, Yuan Zamani, Kaveh Yang, Han a další

Zdroj: Engineering with Computers; Oct2020, Vol. 36 Issue 4, p1643-1656, 14p

Témata: ALGORITHMS, NONLINEAR mechanics, SOLID mechanics, TRUST, CIPHERS

On recovering distributed IP information from inductive source time domain electromagnetic data.

Autoři: Seogi Kang Oldenburg, Douglas W.

Zdroj: Geophysical Journal International; Oct2016, Vol. 207 Issue 1, p174-196, 23p

Témata: INDUCED polarization, ELECTROMAGNETISM, BIOT-Savart law, GEOMAGNETISM, MATHEMATICAL models

The Negative Existential Cycle

Autoři: Veselinova, Ljuba Hamari, Arja

Resource Type: eBook.

Témata: Language and languages--Variation

Categories: LANGUAGE ARTS & DISCIPLINES / Linguistics / General

Modeling and Simulating Flowing Plasmas and Related Phenomena.

Autoři: Ledvina, S. A. Ma, Y.-J. Kallio, E.

Zdroj: Space Science Reviews; Jul2008, Vol. 139 Issue 1-4, p143-189, 47p, 2 Diagrams, 2 Charts, 4 Graphs

Témata: PLASMA gases, PLANETS, NATURAL satellites, COMETS, SOLAR system, MAGNETOHYDRODYNAMICS, MATHEMATICAL models

Finite Volumes for Complex Applications VI Problems & Perspectives : FVCA 6, International Symposium, Prague, June 6-10, 2011

Autoři: Jaroslav Fořt Jiří Fürst Jan Halama a další

Resource Type: eBook.

Témata: Finite volume method--Congresses

Categories: MATHEMATICS / Differential Equations / General, SCIENCE / Mechanics / General